AI & Machine Learning

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Artificial Intelligence (AI) is hardly in its infancy stage. It is not that accessible and thus the AI based solutions that we are using or are being deployed are far inferior to what

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Robotic Process Automation, Machine Learning & Artificial Intelligence   Robotic Process Automation (RPA), Machine Learning (ML) and Artificial Intelligence (AI) get a lot of attention these days. After studying these technologies and finding

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. AI can help employees collaborate smarter by making interactions quick, convenient and intuitive. Technology is a wonderful thing – it has managed to make everything we do faster, easier and more convenient than

Everyone has AI on their roadmap these days. Bottom-tier innovation verticals like HR, multi-level marketing, entertainment, fashion, medical, supply chain are even starting to talk about it. Despite the hype and excitement, the majority of companies that commit to tackling AI projects will fail. Even that $1M+ hire won’t save you from failure. Here are some of the main reasons why your AI project failed or will fail. These have seemed to resonate well with others so I figured I would share.

As more data becomes available, more ambitious problems can be tackled. As a result, machine learning is widely used in computer sincere and other fields. However, developing successful machine learning applications requires a substantial amount of “black art” that is hard to find in textbooks.

It may be virtually impossible to develop artificially “intelligent” systems that aren’t at least somewhat contaminated and biased, in the same way, that it is impossible for a human mind to be entirely unaffected by bias. But if you want to ensure that your own machine learning tools are at least as objective as possible, then you should do your best to minimize the bias

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Artificial Intelligence techniques such as “deep learning” and “convolutional neural networks” have made stunning advancements in image recognition, self-driving cars, and other difficult tasks. Numerous AI companies have appeared to catch the wave

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Last year, the famed theoretical physicist Stephen Hawking quipped that artificial intelligence was “either the best or the worst thing, ever to happen to humanity.” He’s not alone in that sentiment. For each

Ready to learn Machine Learning? Browse courses like Machine Learning Foundations: Supervised Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. In 2017, the most used technical buzzword in the daily newspapers has been Artificial Intelligence, Machine Learning, and Robotics. We have heard both good things and bad things about them. Good things like

There are really two meanings of “AI” and they are routinely conflated. To un-conflate what people mean by “AI,” I’m going to refer to this as “Artificial Sentience.” Then there is what people call “AI” today—basically, a variety of software that tries, tests, and auto-corrects its strategies for a given task.

Ready to learn Machine Learning? Browse courses like Robotics Application Machine Learning developed by industry thought leaders and Experfy in Harvard Innovation Lab. Faced with the challenges of becoming digital organizations that truly meet customer and citizen demands, as my colleague Craig Wallace recently blogged, many organizations are looking at combining new and emerging technologies to support their